Product Details

Learning Ansible 2: Second Edition eBook

Handle Complex, Repetitive Tasks with Ease with Ansible 2

Ansible is an open source automation platform that assists organizations with tasks such as configuration management, application deployment, orchestration, and task automation. In this book, you'll learn about the fundamentals and practical aspects of Ansible 2, getting accustomed to new features and learning how to integrate with cloud platforms like Amazon Web Services. By the end, you'll be able to leverage Ansible parameters to expedite tasks for your organization. Or yourself.

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Practical DevOps eBook

Harness the Power of DevOps to Boost Your Skill Set & Make An IT Organization Perform Better

DevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all the flows from code through testing environments to production environments, stressing cooperation between different roles and how they can work together more closely. Through this book, you'll learn how DevOps affects architecture, starting by creating a sample enterprise Java application that you will continue to work with throughout the following chapters.

Access 240 pages of content 24/7

Understand how all DevOps systems fit together to form a larger whole

Set up & familiarize yourself w/ all the tools you need to be efficient w/ DevOps

Design an application that is suitable for continuous deployment systems

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

DevOps Automation Cookbook eBook

Explore Over 120 Recipes Covering Key Automation Techniques

There has been a recent explosion in tools that allow you to redefine the delivery of infrastructure and applications, using a combination of automation and testing to deliver continuous deployment. This book shows you how to use some of the newest and most exciting tools to revolutionize the way you deliver applications and software. By tackling real-world issues, you'll be guided through a huge variety of tools.

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Python Machine Learning eBook

Machine learning is transforming the way businesses operate, and being able to understand trends and patterns in complex data is becoming critical for success. Python can help you deliver key insights into your data by running unique algorithms and statistical models. Covering a wide range of powerful Python libraries, this book will get you up to speed with machine learning.

Access 454 pages of content 24/7

Find out how different machine learning techniques can be used to answer different data analysis questions

Learn how to build neural networks using Python libraries & tools such as Keras & Theano

Discover how to embed your machine learning model in a web application

Predict continuous target outcomes using regression analysis

Uncover hidden patterns & structures in data w/ clustering

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Mastering Python for Data Science eBook

Explore the World of Data Science Through Python

The Python programming language, beyond having conquered the scientific community in the last decade, is now an indispensable tool for data scientists. Using Python will offer you a fast, reliable, cross-platform, and mature environment for data analysis, machine learning, and algorithmic problem solving. This comprehensive guide will help you move beyond the hype and transcend the theory by providing you with a hands-on, advanced study of data science.

Access 294 pages of content 24/7

Manage data & perform linear algebra in Python

Derive inferences from the analysis by performing inferential statistics

Solve data science problems in Python

Create high-end visualizations using Python

Evaluate & apply the linear regression technique to estimate the relationships among variables

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Practical Data Analysis eBook

Data analysis is more important in business than ever and data scientists are getting paid the big bucks to help companies make better informed decisions. This book explains basic data algorithms using hands-on machine learning techniques. You'll perform data-driven innovation processing for several types of data such as text, images, social network graphs, documents, and more.

Access 338 pages of content 24/7

Acquire, format, & visualize your data

Build an image-similarity search engine

Generate meaningful visualizations that anyone can understand

Get started w/ analyzing social network graphs

Find out how to implement sentiment text analysis

Install data analysis tools such as Pandas, MongoDB, & Apache Spark

Implement machine learning algorithms such as classification or forecasting

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Data Mining with Python

Learn Data Mining by Actually Doing It

Every business wants to gain insights from data to make more informed decisions. Data mining provides a way of finding these insights, and Python is one of the most popular languages with which to perform it. In this course, you will discover the key concepts of data mining and learn how to apply different techniques to gain insight to real-world data. By course's end, you'll have a valuable skill that companies are clamoring to hire for.

Saimadhu Polamuri is a data science educator and the founder of Data Aspirant, a Data Science portal for beginners. He has 3 years of experience in data mining and 5 years of experience in Python. He is also interested in big data technologies such as Hadoop, Pig, and Spark. He has a good command of the R programming language and Matlab. He has a rudimentary understanding of Cpp Computer vision library (opencv) and big data technologies.

Details & Requirements

Length of time users can access this course: lifetime

Access options: web streaming, mobile streaming

Certification of completion not included

Redemption deadline: redeem your code within 30 days of purchase

Experience level required: all levels

Compatibility

Internet required

Course Outline

Introduction to Data Mining

The Course Overview (3:55)

A Brief Introduction to Data Mining (4:37)

Data Mining Basic Concepts and Applications (7:05)

Setting Up the Data Mining Python Packages Environment

Why Python? (3:31)

Basics of Python (5:55)

Installing IPython (2:09)

Installing the Numpy Library (4:32)

Installing the pandas Library (5:32)

Installing Matplotlib (2:42)

Installing scikit-learn (2:37)

Cleaning Data and Preprocessing Techniques

Data Cleaning (5:31)

Data Preprocessing Techniques (5:08)

Linear Regression Model

Linear Regression Basic Model Approach (8:23)

Evaluating Regression Models (5:31)

Basic Regression Model Implementation to Predict House Prices (9:20)

Regression Model Implementation to Predict Television Show Viewers (9:46)

Python Machine Learning Projects

Discover the Reach of Machine Learning Through Six Projects in Python

Machine learning gives you extremely powerful insights into data, and has become so ubiquitous you see it nearly constantly while you browse the internet without even knowing it. Implementations of machine learning are as diverse as recommendation systems to self-driving cars. In this course, you'll be introduced to a unique blend of projects that will teach you what machine learning is all about and how you can use Python to create machine learning projects.

Access 26 lectures & 3 hours of content 24/7

Work on six independent projects to help you master machine learning in Python

Cover concepts such as classification, regression, clustering, & more

Apply various machine learning algorithms

Master Python's packages & libraries to facilitate computation

Implement your own machine learning models

Alexander T. Combs is an experienced data scientist, strategist, and developer with a background in financial data extraction, natural language processing and generation, and quantitative and statistical modeling. He is currently a full-time lead instructor for a data science immersive program in New York City.